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B.Tech (Hons) CSE – Full Stack Web Development

Program

B.Tech (Hons) in CSE with specialization in Full Stack Web Development

Duration

4 Years ( 8 Semesters )

Eligibility

10+2 with Physics and Mathematics + one subject from Chemistry, CS, Electronics, IT, etc. with 55% marks or 55% in D.Voc. stream in allied fields.

BTech CSE Full Stack Web Development

Full Stack Web Development is a subject matter of Geeta University's B.Tech in Computer Science and Engineering (CSE) in Haryana. The program covers a lot of basics and gives students fundamental and advanced skills in software engineering and new web technologies. In this college, core CSE subjects are taught along with specific training in BTech CSE Full Stack Web Development in Delhi NCR, such as HTML, CSS, JavaScript frameworks, server-side technologies, database management, and transfer to the cloud. 

To fill the gap between academic knowledge and what companies need, a lot of focus is put on hands-on project work, joint labs, and making apps that work in the real world. Best practices for UI/UX design, flexible programming, API interaction, basic hacking, and version control systems like Git are also part of the training. 

Students are ready for jobs as full-stack developers, software engineers, and technology leaders in a digital world that is changing quickly due to partnerships with businesses and educators with a lot of experience.

Program Structure
  • HTML, CSS, JavaScript Essentials
  • Front-End Frameworks (React, Angular)
  • Backend Development (Node.js, Express, Django)
  • SQL & NoSQL Databases (MongoDB, MySQL)
  • REST APIs & Microservices
  • DevOps Tools & GitHub
  • AWS, Firebase, and Azure Deployment
  • Web Security & OWASP Guidelines
  • UI/UX Design & Wireframing
  • Final Year Startup/Product Development Project
Learning Outcomes
  • Build responsive web apps using modern frameworks
  • Integrate frontend and backend systems seamlessly
  • Deploy secure, scalable applications on cloud
  • Solve user experience issues with creative design
  • Collaborate using CI/CD pipelines & Git
What is a BTech CSE Full Stack Web Development?

Full Stack Development means working on both the client-side (front-end) and server-side (back-end) of an application. so that they work together without any problem. A Full Stack Developer knows how to use a lot of different platforms, frameworks and tools, which lets them do everything from designing user interfaces to handling computers and databases.

Why Pursue a BTech CSE Full Stack Web Development Degree Program?

There are many great reasons to get a BTech CSE Full Stack Web Development in India, especially in today's digital world. This program is a good choice because of these reasons:

  • High Demand: Because they can work on both front-end and back-end projects, full stack developers are in high demand in the IT field.
  • Flexible Skills: Graduates have a lot of different skills that allow them to work on a variety of projects and jobs.
  • Career Growth: The need for web developers is always growing, which means that there are great job possibilities and chances to move up.
  • Opportunities for an Entrepreneur: You can use the skills you learn to create your own web apps and businesses.
  • Competitive Salary: Full Stack Developers get paid well because they have a lot of skills and are in great demand.
  • Comprehensive Syllabus: The BTech CSE Full Stack Web Development Degree program at Geeta University in Haryana covers a lot of different topics so that students can get a complete understanding of web development.
  • Hands-On Experience: The full stack web development colleges in India encourage hands-on learning to prepare students for challenges they will face in the real world.
  • Value to Industry Trends: The curriculum is always being revised to include the newest web development tools and trends.
BTech CSE Full Stack Web Development Scope

Full stack web development is a useful skill because it teaches you all you need to know about the technology side of running a website or an application. To make appealing, eye-catching web pages, you will learn languages like HTML, CSS, and JavaScript. You will learn back-end languages or tools, such as Python or the MERN stack, that are utilized in developing the server-side infrastructure that makes websites function. 

This means that BTech CSE Full Stack Web Development will help you get work making any part of a web app or system. It will help you do well in areas like data science, hacking, and machine learning that are related to these computer languages in the future. Full-stack web developers are in high demand, so learning these skills is a great way to get into a broad, well-paying job.

BTech CSE Full Stack Web Development Geeta University Admission Process
  • Eligibility Criteria: For BTech CSE Full Stack Web Development admission, applicants must have completed 10+2 with Physics and Mathematics + one subject from Chemistry, CS, Electronics, IT, etc. with 55% marks or 55% in D.Voc. stream in allied fields.
Why Prefer Geeta University For A BTech CSE Full Stack Web Development Degree?

Geeta University provides a BTech in Computer Science and Engineering (CSE) degree with a Full Stack Development specialization. The BTech CSE Full Stack Web Development program aims to give learners skills and information that can be utilized in the real world. Geeta University integrates basic academic knowledge with hands-on training. It offers learners a complete guide to how software is developed today. Learners who are interested in becoming professional Full Stack Developers who are able to create, develop, and execute powerful online and mobile apps will find BTech full stack developer course to be an excellent choice.

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Degree Design

Meet Our Mentors

Guiding Futures with Expertise, Experience & Empathy

kapil Saini
Dr. Kapil Saini

Head of Department, Ph.D.

Published 25+ Scopus/WoS Papers; Contributed 6 Book Chapters (Springer, Elsevier, Taylor & Francis, IGI Global); Holds 3 Patents (IoT-based Health Monitoring); Recognized with Best Teacher Award (2022); Expertise in AI, ML, Cloud Computing, Recommender Systems.

Published 25+ Scopus/WoS Papers; Contributed 6 Book Chapters (Springer, Elsevier, Taylor & Francis, IGI Global); Holds 3 Patents (IoT-based Health Monitoring); Recognized with Best Teacher Award (2022); Expertise in AI, ML, Cloud Computing, Recommender Systems.

WhatsApp Image 2026-06-18 at 12.55.21
Ms. Rakhi Chauhan

Assistant Professor, M.Tech., Ph.D. (Pursuing)

Ms. Rakhi Chauhan is an Assistant Professor and PhD researcher specializing in Deep Learning, CNN Benchmarking, Fake Face Detection. She has authored 10+ research papers and 20+ book chapters published in reputed journals, conferences, and edited volumes.

Ms. Rakhi Chauhan is an Assistant Professor and PhD researcher specializing in Deep Learning, CNN Benchmarking, Fake Face Detection. She has authored 10+ research papers and 20+ book chapters published in reputed journals, conferences, and edited volumes.

Richa Jain (Custom)
Ms. Richa Jain

Assistant Professor, M.Tech.

Published Research Papers in Computer Science; Focused on innovative teaching and academic excellence.

Published Research Papers in Computer Science; Focused on innovative teaching and academic excellence.

Jyoti
Ms. Jyoti

Assistant Professor

Cybersecurity professional combining industry, teaching, and research experience, with 3 publications and strong technical expertise.

Cybersecurity professional combining industry, teaching, and research experience, with 3 publications and strong technical expertise.

WhatsApp Image 2026-06-18 at 12.55.20 (1)
Radha Gautam

Assistant Professor

Ms. Radha Gautam is an Assistant Professor with expertise in Computer Science and Engineering. She is dedicated to teaching, research, and academic excellence, with interests in emerging technologies, artificial intelligence, and software development. She has contributed to scholarly research through publications and actively participates in academic and professional development activities. Her commitment to student learning and innovation makes her a valuable contributor to higher education.

Ms. Radha Gautam is an Assistant Professor with expertise in Computer Science and Engineering. She is dedicated to teaching, research, and academic excellence, with interests in emerging technologies, artificial intelligence, and software development. She has contributed to scholarly research through publications and actively participates in academic and professional development activities. Her commitment to student learning and innovation makes her a valuable contributor to higher education.

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Ronak Duggar

Trainer

Full Stack Developer, AI/ML Researcher, Technical Trainer, Innovator, and Emerging Scholar with 11 Publications, 7 Patents, and H-Index 6.

Full Stack Developer, AI/ML Researcher, Technical Trainer, Innovator, and Emerging Scholar with 11 Publications, 7 Patents, and H-Index 6.

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SCHOLARSHIPS AT GEETA UNIVERSITY

We believe that financial constraints should not limit access to quality education. At Geeta University, we offer scholarships based on:

  • ■ Merit/Percentage in Qualifying Exams
  • ■ National Level Entrance Exams (JEE, CUET, NEET, CLAT, and more)
  • ■ Social Responsibility
  • ■ Sports Performance    

GUTS

GEETA UNIVERSITY TEST OF SCHOLARSHIP
Geeta University (GU) strongly believes that monetary constraints should not be an obstacle for a student to have access to quality education. Following scholarships are offered at GU:

Highlights of Our Learning Spaces

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Career Opportunities After Completing A BTech CSE Full Stack Web Development Degree Program?

After finishing BTech CSE Full Stack Web Development course, there are a variety of employment options available, including the following:

  • A Front-End Developer: Mostly about using languages like HTML, CSS and JavaScript to make websites.
  • Web Developer (Back End): Working behind the scenes and know-how to use languages like C, PHP, Python, and more to meet the requirements of the front end.
  • Engineer for software: Uses planning, testing, and support concepts to help people who are having problems with software apps.
  • Design Web Pages: Designers and layout websites; know HTML, JavaScript, and CSS well; also oversee the information design of the website.

Top recruiters:

  • Google
  • Zomato
  • Flipkart
  • Paytm
  • Microsoft
  • Razorpay
  • Infosys
  • Zoho
  • Freshworks
  • Wipro
Why Prefer Geeta University For A BTech CSE Full Stack Web Development Degree?

Geeta University provides a BTech in Computer Science and Engineering (CSE) degree with a Full Stack Development specialization. The BTech CSE Full Stack Web Development program aims to give learners skills and information that can be utilized in the real world. Geeta University integrates basic academic knowledge with hands-on training. It offers learners a complete guide to how software is developed today. Learners who are interested in becoming professional Full Stack Developers who are able to create, develop, and execute powerful online and mobile apps will find BTech full stack developer course to be an excellent choice.

40 LPA

HIGHEST PACKAGE

550+

RECRUITERS

3500+

JOB OFFERS

Frequently Asked Questions

Find answers to common questions about eligibility, courses, placements, and campus facilities.

The School currently lists B.Tech. Hons. CSE with specializations including Computer Science & Engineering, Artificial Intelligence & Machine Learning, Cyber Security, Data Science & Business Analytics with HCL, Full Stack Web Development, Quantum Computing and NIAT Upskilling; BCA pathways including Computer Applications, AI & ML, Cyber Security and Data Science & Business Analytics; M.Tech. CSE; MCA; and Ph.D. programmes in Computer Applications and CSE.

Applicants must have passed 10+2 with Physics and Mathematics as compulsory subjects, along with one of the specified subjects such as Chemistry, Computer Science, Electronics, Information Technology, Biology, Informatics Practices, Biotechnology, Technical Vocational subject, Agriculture, Engineering Graphics, Business Studies or Entrepreneurship, with at least 55% marks. Students from the D.Voc. stream may also be eligible with 55% marks in the same or allied sector.

Yes. Eligibility specifically requires Physics and Mathematics at the 10+2 level.

Yes. Students who have passed the D.Voc. stream with at least 55% marks in the same or an allied sector may be eligible.
10+2 or equivalent with at least 50% marks, or a Diploma in Commercial Practice or equivalent with at least 50% marks.

The School's programme information does not impose the same Physics-and-Mathematics requirement as B.Tech. CSE. Students should, however, verify the current programme-specific eligibility before applying.

Applicants should have a graduation degree such as B.E./B.Tech., B.Sc., B.Com., B.A., B.Voc. or BCA with at least 50% marks. Mathematics at 10+2 or graduation level is preferred; students without a mathematics background may have to qualify a compulsory mathematics course under University norms
Applicants should have a B.Tech. in a relevant stream, M.Sc.-IT, MCA or equivalent qualification with at least 50% marks in the qualifying examination.

 A relevant master's degree with at least 55% marks is required to be eligible for Ph.D. programmes in the School.

B.Tech. CSE is a four-year engineering programme built around deeper computer science and engineering foundations, while BCA is a three/four-year computer applications degree with a more application-oriented structure. Both offer exposure to contemporary areas such as AI, cybersecurity and data-related technologies, but their academic routes and eligibility requirements differ.

The specializations include Computer Science & Engineering, Artificial Intelligence & Machine Learning, Cyber Security, Data Science & Business Analytics with HCL, Full Stack Web Development, Quantum Computing and NIAT Upskilling.

BCA in Computer Applications, Artificial Intelligence & Machine Learning, Cyber Security and Data Science & Business Analytics are available within the school.

AI & ML is suited to students interested in intelligent systems, automation and predictive models; Data Science suits students interested in data analysis and insight generation; Cyber Security suits students interested in digital protection, risk and security; and Full Stack Development suits students who want to build end-to-end web applications.

Yes. Core areas of Curriculum include programming, data structures and algorithms, operating systems, databases, software engineering, computer networks, cloud fundamentals, web and mobile development and IoT.

The programming exposure includes C, C++, Java and Python, with additional technologies depending on the selected programme or specialisation.

Yes. AI & ML is offered as a dedicated specialisation, and the School highlights areas such as machine learning, deep learning, neural networks, computer vision, robotics, natural language processing and predictive analytics.

The students will learn software development security, network security, risk management and compliance, cryptography, information security, security architecture, ethical hacking and digital-forensics-oriented areas.

The pathway combines programming and data-oriented skills with analytics. The School highlights data frames, Python for data science, R programming, core programming principles and analytics-oriented learning.

This specialization covers web-development fundamentals, HTML/CSS, JavaScript, advanced JavaScript and CSS-based web applications, with the wider curriculum supporting end-to-end software and web development.
It combines computer science with quantum computing and related mathematics and physics. The programme highlights quantum mechanics for computing, quantum algorithms, quantum programming, quantum cryptography, quantum machine learning, quantum hardware and architectures, simulations and an industry-based quantum innovation lab.

Yes. The M.Tech. programme covers areas such as advanced programming, data structures and algorithms, operating systems, databases, computer networks, cloud fundamentals, IoT, cyber law basics, web/mobile development and an industry internship or capstone project.

MCA focuses on application development, system design and data analytics, with programme areas including advanced programming, databases, web technologies, operating systems, software engineering, AI & ML, cloud computing, big data tools, UI/UX and IoT, along with industry internship.

The School presents a strong practical orientation alongside conceptual learning. It focuses on projects, internships, hackathons, coding practice, certification tracks, industry tools, technical training and the Geeta Technical Hub.

Yes. Real-world projects, project-based learning, internships, industry collaborations and practical training are important components of its approach.

Yes. Industry internships are explicitly included in the B.Tech. CSE, M.Tech. CSE and MCA programme structures, while the School also highlights internships more broadly as part of industry-oriented learning.

Industry internship is included after Semester 2, providing an early opportunity to connect academic learning with workplace experience.

The School promotes a skill development eco-system through hackathons, DSA and competitive coding, logic-building activities, problem-solving techniques, coding profiles and competitive programming.

The Geeta Technical Hub is part of the University's wider ecosystem supporting advanced technology, certifications and industry skills. It is linked with coding, technical training and emerging-technology skill development.

The School highlights Drive Ready Tracks covering areas such as MEAN/MERN Stack, PHP & MySQL, Python Development, Cyber Security Fundamentals, Artificial Intelligence and Machine Learning, designed to build practical skills relevant to technology roles.
Certification tracks are associated with Amazon AWS, Red Hat, Cisco, HubSpot, GitHub, Oracle and Microsoft Azure. The exact certifications available to a student may depend on the programme and current certification track.

The School highlights certification tracks, but the exact inclusion, certification provider, examination charges and fee coverage can vary by programme or training model. Students should confirm the current terms with the School or admissions team.

Yes. The School highlights tool-integrated learning, certification tracks, industry-oriented training, technical hub support and emerging technologies including cloud, cybersecurity, AI, data science and full-stack development.

Projects, internships, coding practice, technical tracks, certifications and industry exposure help students build demonstrable skills and portfolio experience that can be discussed during technical assessments and interviews.

Career pathways include software development, web and app development, machine learning, AI, data analysis and data science, networking, cybersecurity, cloud architecture and systems engineering, depending on the student's skills and specialisation.

BCA graduates can pursue roles such as software developer, web developer, database administrator, system analyst, IT support, QA and front-end or back-end development, or continue to higher studies.

Yes. The School presents BCA as a foundation for higher studies such as MCA and further specialisation in areas including AI, data science and cybersecurity.

The programme supports advanced technical and research-oriented pathways, including roles in R&D, cloud architecture, cybersecurity and intelligent systems, as well as further research and doctoral study.

Yes. Computer science skills are applicable across sectors such as finance, healthcare, telecommunications, automotive, aerospace, e-commerce and other technology-enabled industries.

Yes. A strong CSE foundation can lead toward AI-related roles, particularly when students build additional skills through projects, certifications, electives and specialised training. The School also offers AI & ML as a dedicated specialization for students who want deeper structured exposure.

Recruiters and technology organizations include TCS, Infosys, Wipro, IBM, HCL, Amazon, Capgemini, Accenture, Tech Mahindra, Cognizant, Deloitte and others.

Yes. Placement support is highlighted by the School, alongside interview preparation, industry interaction, internships, technical training and career-readiness activities.

Yes. ₹40 LPA is the highest package secured by a CSE student, and placement stats 550+ recruiters and 3,500+ job offers pertains to the University-wide data.

No placement outcome should be interpreted as an individual guarantee. Career outcomes depend on the student's technical skills, academic performance, projects, interview performance, recruiter requirements and available roles.

The major skills recruiters typically look for in CSE students are programming, data structures and algorithms, problem-solving, project experience, domain skills, technical certifications, communication and the ability to apply technology to real-world problems.
The School has faculty with expertise across computer science and emerging technologies. Its mentor profiles include specialists in AI, machine learning, cloud computing, recommender systems, deep learning and related research areas.

Faculty profiles highlight areas such as AI, machine learning, cloud computing, recommender systems, deep learning and related research. Most faculty members also have publications, patents and research experience.

Yes. The School's learning model is designed to build technical skills progressively through programming, DSA, projects, coding practice, technical training and supportive faculty guidance. Students do not need advanced coding expertise before starting, although willingness to learn is important.

The School combines academic foundations with practical projects, internships, coding and DSA training, industry certification tracks, drive-ready modules, communication support, industry interaction and placement preparation.
Advanced laboratories, technology-enabled classrooms, practical learning spaces are part of technical infrastructure designed to support programming, projects and emerging-technology learning.

A laptop is highly useful for programming, project work, online tools and certification-based learning.

The School highlights coding ecosystems, DSA and competitive coding, logic-building, problem-solving, coding profiles and competitive programming activities.

Yes. Students do get exposure to emerging technologies such as AI, machine learning, cybersecurity, data science, cloud technologies, full-stack development and quantum computing through specialisations and skill-development tracks
The project-based and practical learning approach provides opportunities to build projects, technical work and other demonstrable outputs. Students can use these experiences to develop a portfolio alongside their academic qualification.

Yes. Research is visible through faculty publications, patents, doctoral programmes, research-oriented postgraduate study, project work and emerging technology areas.

Yes. Students who meet the applicable doctoral eligibility requirements can pursue Ph.D. study. The School offers Ph.D. pathways in Computer Science & Engineering and Computer Applications.

The School encourages research activity and highlights faculty expertise in publications and patents. Students can explore research projects, conferences and innovation activities under appropriate faculty guidance.

Yes. The Quantum Computing pathway is explicitly described as industry- and research-oriented and includes quantum algorithms, quantum programming, quantum cryptography, quantum machine learning, quantum hardware and simulation.

Both can lead to software and technology careers, but they are different academic routes. B.Tech. CSE is an engineering degree with deeper computer science and engineering foundations and a Physics-and-Mathematics-based entry requirement. BCA is a computer applications degree with a more application-oriented route.

Yes. Students can develop coding ability progressively through programming courses, DSA, practical assignments, projects, coding activities and faculty support. A genuine interest in technology and consistent practice are more important than already being an advanced coder.

The strongest choice is the one that matches the student's interests and willingness to build deep skills.

Yes. CSE graduates can pursue careers in areas such as data analysis, cybersecurity, cloud, systems, AI, technical consulting, product roles, research and other technology functions where programming may be one component rather than the entire job.

Parents should look beyond the degree title and compare curriculum depth, practical exposure, internships, project opportunities, faculty support, industry certifications, emerging-technology exposure, placement preparation and the student's own interests and aptitude.
The B.Tech. CSE programme is of four years, comprising eight semesters.

The BCA programme is listed as a three/four-year degree, depending on the applicable degree pathway.

Both MCA and M.Tech. CSE are listed as two-year postgraduate programmes.
Computer science skills can lead to careers across software development, AI, machine learning, data science, cybersecurity, cloud computing, web and mobile development, systems, research and technology-enabled roles across multiple industries.

Specializations, certification tracks, drive-ready tracks, milestone activities and multi-skill development, gives students multiple ways to build a profile around their preferred technology domain.

Legacy & Ecosystem

Founded in 1985, the Geeta Group of Institutions has emerged as a major educational hub with institutions spanning school education to doctoral programs. SPBSB benefits from the integrated ecosystem of:

Geeta University

AI-enabled multidisciplinary campus

Geeta Finishing School (GFS)

Communication & Corporate Readiness

Geeta Technical Hub (GTH)

Advanced Technology, Certifications, and Industry Skills

Together, they form a holistic,
future-ready talent development ecosystem.

Geeta Group Campus